Real-Time Trading Platform

What Challenge Did Fintech Company Face?

The fintech startup required a trading platform capable of processing millions of transactions per day with sub-millisecond latency, real-time market data integration, and institutional-grade security.

How Did Agochar Approach This Project?

We began with a comprehensive discovery phase to understand the client's needs, existing infrastructure, and future goals. Our team developed a detailed technical architecture that would address current challenges while providing flexibility for future growth.

• Conducted stakeholder interviews and requirement gathering
• Analyzed existing systems and identified integration points
• Designed scalable architecture using modern best practices
• Implemented iterative development with continuous feedback

What Solution Did Agochar Build?

We built a high-frequency trading system using Go for the core matching engine, React for the trading interface, and Kafka for event streaming. Redis provided in-memory caching for market data, while PostgreSQL handled trade settlement.

How Was the Project Implemented?

Our development process followed agile methodology with two-week sprints and regular client demonstrations. We maintained close communication throughout the project to ensure alignment with business objectives.

1. Phase 1: Foundation and core functionality
2. Phase 2: Feature development and integrations
3. Phase 3: Testing, optimization, and launch preparation
4. Phase 4: Launch and ongoing support

What Was the Business Impact?

The project delivered significant measurable results for our client. The new system has transformed their operations and positioned them for continued growth in their market.